Major

  • An issue resulting in wider than expected credible intervals for the fixed-effects coefficients of the longitudinal submodels has been resolved.

Minor

  • Several improvements in various internal functions.

Major

  • The default placing of the knots for the B-spline approximation of the log baseline hazard has been changed. This will cause some difference compared to previous versions.

Major

  • Dynamic predictions for competing risks data can now be computed. An example is given in the Competing Risks vignette.

  • Function jm() can now fit joint models with a recurrent event process with or without a terminating event. The model accommodates discontinuous risk intervals, and the time can be defined in terms of the gap or calendar timescale. An example is given in the Recurrent Events vignette.

Major

  • Added the function tvBrier() for calculating time-varying Brier score for fitted joint models. Currently, only right-censored data are supported.

  • Added the functions calibration_plot() and calibration_metrics() for calculating time-varying calibration plot and calibration metrics for fitted joint models. Currently, only right-censored data are supported.

  • Added new section in the vignette for Dynamic Prediction (available on the website of the package) to showcase the use of the functions mentioned above.

Minor

  • Improved the plot method for dynamic predictions.

  • Several bug corrections.

Major

  • Added a predict() method for jm objects and a corresponding plot() for objects of class predict_jm for calculating and displaying predictions from joint models. Currently, only standard survival models are covered. Future versions will include predictions from competing risks and multi-state models.

  • Added the functions tvROC() and tvAUC() for calculating time-varying Receiver Operating Characteristic (ROC) curves and the areas under the ROC curves for fitted joint models. Currently, only right-censored data are supported.

  • Added a vignette (available on the website of the package) to explain how (dynamic) predictions are calculated in the package.

Major

  • Added two vignettes (available on the website of the package) to showcase joint models with competing risks and joint models with non-Gaussian longitudinal outcomes.

  • Simplified syntax and additional options for specifying transformation functions of functional forms.

  • The slope() function has gained two new arguments, eps and direction. This allows calculating the difference of the longitudinal profile over a user-specified interval.

Minor

  • Used parallel::clusterSetRNGStream() in jm_fit() for distributing the seed in the workers.
  • Changed the default position of the knots for the B-spline approximation of the log baseline hazard.

Minor

  • Changed calls to floor() in the C++ code.

General

  • First version of the package.